hmsc in practice: the syntax and typical workflow of the r-package hmsc · 2020. 11. 2. · hmsc in...
Post on 24-Aug-2021
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HMSC in practice: the syntax and typical workflow of the R-package Hmsc
HMSC in practice: the syntax and typical workflow of the R-package Hmsc
Step 1. Setting model structure and fitting the model
Step 2. Examining MCMC convergence
Step 3. Evaluating model fit and comparing models
Step 4. Exploring parameter estimates
Step 5. Making predictions
Step 1. Setting model structure and fitting the model
Step 2. Examining MCMC convergence
Step 2. Examining MCMC convergence
Step 3. Evaluating model fit and comparing models
Step 3. Evaluating model fit and comparing models
Step 4. Exploring parameter estimates
VP = computeVariancePartitioning(m)plotVariancePartitioning(m, VP)
post = getPostEstimate(m, parName="Beta")plotBeta(m, post, supportLevel)
OmegaCor = computeAssociations(m)corrplot(OmegaCor)
Step 5. Making predictions
Gradient = constructGradient(m, focalVariable)pred = predict(m, Gradient)plotGradient(m, Gradient, pred, measure, showData)
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